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Climate Dynamics

, Volume 51, Issue 11–12, pp 4439–4450 | Cite as

Frequency of spring dust weather in North China linked to sea ice variability in the Barents Sea

  • Ke FanEmail author
  • Zhiming Xie
  • Huijun Wang
  • Zhiqing Xu
  • Jiping Liu
Article

Abstract

The link between winter sea ice cover in the Barents Sea (SICBS) and the frequency of spring dust weather over North China (DWFNC) is investigated. It is found that year-to-year variability of SICBS and DWFNC are strongly correlated for the period 1996–2014 with a correlation coefficient of −0.65, whereas the correlation between SICBS and DWFNC is not statistically significant for the periods 1980–2014 and 1980–1995. During 1996–2014, low winter SICBS is associated with decreased snow cover over western Siberia (SCWS) in both winter and spring, which is also supported by a strengthening relationship between winter SICBS and spring SCWS since the mid-1990s. This leads to changes in atmospheric circulation and climate conditions that are favorable for increased frequency of dust weather events over North China. Our further analysis suggests that the interannual variability of the standard deviation of SICBS has intensified and the center of actions has moved eastward to the north Barents Sea and Kara Sea since the mid-1990s. Such change may easily induce stronger and southward stationary Rossby wave train propagation, influencing the dust-related atmospheric circulation (strengthened East Asian subtropical jet, increased cyclogenesis, and larger atmospheric thermal instability). Thus interannual variation of winter SICBS plays an increasingly important role in dust-related climate conditions over North China, which might serve as a new precursor for the prediction of spring dust activity in North China.

Keywords

Winter sea-ice cover Barents Sea Dust weather frequency North China Snow cover Western Siberia 

Notes

Acknowledgements

The authors are grateful to Editor and the anonymous reviewers for their insightful comments. This research was jointly supported by the National Natural Science Foundation of China (Grant Nos. 41325018, 41421004, 41575079, 41676185). The research also supported by the CAS/SAFEEA International Partnership Program for creative Research Team “Regional environmental high resolution numerical simulation”.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  1. 1.Nansen-Zhu International Research Centre, Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina
  2. 2.Collaborative Innovation Center on Forecast and Evaluation of Meteorological DisastersNanjing University of Information Science & TechnologyNanjingChina
  3. 3.Climate Change Research CenterChinese Academy of SciencesBeijingChina
  4. 4.Department of Atmospheric and Environmental Sciences, University at AlbanyState University of New YorkAlbanyUSA
  5. 5.University of the Chinese Academy of SciencesBeijingChina

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